A Widely Applicable Bayesian Information Criterion

31 August 2012

Papers citing "A Widely Applicable Bayesian Information Criterion"

37 / 87 papers shown

Title
Geometry of Program Synthesis James Clift Daniel Murfet James Wallbridge 111 2 0 30 Mar 2021
A Latent Space Model for Multilayer Network Data Juan Sosa Brenda Betancourt BDL 58 20 0 18 Feb 2021
WiSleep: Inferring Sleep Duration at Scale Using Passive WiFi Sensing P. Mammen Camellia Zakaria Tergel Molom-Ochir Amee Trivedi Prashant J. Shenoy R. Balan 8 2 0 07 Feb 2021
Asymptotic Behavior of Free Energy When Optimal Probability Distribution Is Not Unique Shuya Nagayasu Sumio Watanabe 47 7 0 15 Dec 2020
High-dimensional modeling of spatial and spatio-temporal conditional extremes using INLA and Gaussian Markov random fields Emma S. Simpson Thomas Opitz J. Wadsworth 70 16 0 09 Nov 2020
Health improvement framework for planning actionable treatment process using surrogate Bayesian model Kazuki Nakamura Ryosuke Kojima Eiichiro Uchino K. Murashita Ken Itoh Shigeyuki Nakaji Yasushi Okuno 8 8 0 30 Oct 2020
Deep Learning is Singular, and That's Good Daniel Murfet Susan Wei Biwei Huang Hui Li Jesse Gell-Redman T. Quella UQCV 79 29 0 22 Oct 2020
Statistical Models for Repeated Categorical Ratings: The R Package rater Jeffrey M. Pullin L. Gurrin Damjan Vukcevic 70 1 0 19 Oct 2020
Evidence bounds in singular models: probabilistic and variational perspectives A. Bhattacharya D. Pati Sean Plummer 11 2 0 11 Aug 2020
The Exact Asymptotic Form of Bayesian Generalization Error in Latent Dirichlet Allocation Naoki Hayashi 66 16 0 04 Aug 2020
Parametric Copula-GP model for analyzing multidimensional neuronal and behavioral relationships N. Kudryashova Theoklitos Amvrosiadis Nathalie Dupuy Nathalie L Rochefort A. Onken 60 5 0 03 Aug 2020
Extended Stochastic Block Models with Application to Criminal Networks Sirio Legramanti T. Rigon Daniele Durante David B. Dunson 68 22 0 16 Jul 2020
NADS: Neural Architecture Distribution Search for Uncertainty Awareness Randy Ardywibowo Shahin Boluki Xinyu Gong Zhangyang Wang Xiaoning Qian UQCV 64 18 0 11 Jun 2020
Relevance Vector Machine with Weakly Informative Hyperprior and Extended Predictive Information Criterion Kazuaki Murayama Shuichi Kawano 32 0 0 07 May 2020
spsurv: An R package for semi-parametric survival analysis R. Panaro 18 1 0 23 Mar 2020
Intrinsic regularization effect in Bayesian nonlinear regression scaled by observed data Satoru Tokuda Kenji Nagata M. Okada 147 1 0 05 Jan 2020
Bayesian Generalization Error of Poisson Mixture and Simplex Vandermonde Matrix Type Singularity Kenichiro Sato Sumio Watanabe 47 13 0 31 Dec 2019
Bayesian Multivariate Spatial Models for Lattice Data with INLA Francisco Palmí-Perales V. Gómez‐Rubio M. Martínez-Beneito 25 21 0 24 Sep 2019
On the overestimation of widely applicable Bayesian information criterion T. Imai 18 4 0 28 Aug 2019
Minimum Description Length Revisited Peter Grünwald Teemu Roos 147 66 0 21 Aug 2019
Subspace Inference for Bayesian Deep Learning Pavel Izmailov Wesley J. Maddox Polina Kirichenko T. Garipov Dmitry Vetrov A. Wilson UQCV BDL 95 144 0 17 Jul 2019
A Kernel Stein Test for Comparing Latent Variable Models Heishiro Kanagawa Wittawat Jitkrittum Lester W. Mackey Kenji Fukumizu Arthur Gretton 80 13 0 01 Jul 2019
Estimating Real Log Canonical Thresholds T. Imai 42 7 0 04 Jun 2019
Differential Description Length for Hyperparameter Selection in Machine Learning M. Abolfazli A. Høst-Madsen Igor Molybog 19 1 0 13 Feb 2019
GPdoemd: a Python package for design of experiments for model discrimination Simon Olofsson Lukas Hebing Sebastian Niedenführ M. Deisenroth Ruth Misener 49 18 0 05 Oct 2018
Convergence Rates of Latent Topic Models Under Relaxed Identifiability Conditions Yining Wang 34 6 0 30 Oct 2017
Analytic solution and stationary phase approximation for the Bayesian lasso and elastic net T. Michoel 44 1 0 25 Sep 2017
BAMBI: An R package for Fitting Bivariate Angular Mixture Models Saptarshi Chakraborty Samuel W. K. Wong 69 16 0 25 Aug 2017
Latent tree models Piotr Zwiernik 46 12 0 02 Aug 2017
Malware in the Future? Forecasting of Analyst Detection of Cyber Events J. Bakdash Steve E. Hutchinson Erin G. Zaroukian L. Marusich Saravanan Thirumuruganathan C. Sample Blaine Hoffman Gautam Das 70 37 0 11 Jul 2017
Maximizing the information learned from finite data selects a simple model Henry H. Mattingly Mark K. Transtrum Michael C. Abbott B. Machta 67 44 0 02 May 2017
Towards well-specified semi-supervised model-based classifiers via structural adaptation Zhaocai Sun W. K. Cheung Xiaofeng Zhang Jun Yang 26 0 0 01 May 2017
Determination of hysteresis in finite-state random walks using Bayesian cross validation Joshua C. Chang 20 0 0 21 Feb 2017
Body movement to sound interface with vector autoregressive hierarchical hidden Markov models D. Marković Borjana Valcic N. Malešević 20 0 0 26 Oct 2016
Simultaneous Estimation of Noise Variance and Number of Peaks in Bayesian Spectral Deconvolution Satoru Tokuda Kenji Nagata M. Okada 32 22 0 26 Jul 2016
Betting and Belief: Prediction Markets and Attribution of Climate Change John J. Nay M. Linden J. Gilligan 22 4 0 29 Mar 2016
Rebuilding Factorized Information Criterion: Asymptotically Accurate Marginal Likelihood K. Hayashi S. Maeda R. Fujimaki 52 13 0 22 Apr 2015